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Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

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Number of items: 14.

2020

Roberts, Micheala and Gilligan, Christopher A. and Kleczkowski, Adam and Hanley, Nick and Whalley, A. E. and Healey, John R. (2020) The effect of forest management options on forest resilience to pathogens. Frontiers in Forests and Global Change, 3. 7. ISSN 2624-893X

2019

Kleczkowski, Adam and Hoyle, Andy and McMenemy, Paul (2019) One model to rule them all? Modelling approaches across OneHealth for human, animal and plant epidemics. Philosophical Transactions of the Royal Society B: Biological Sciences, 374 (1775). 20180255. ISSN 0962-8436

2018

Macpherson, Morag F. and Kleczkowski, Adam and Healey, John R. and Hanley, Nick (2018) The effects of disease on optimal forest rotation : a generalisable analytical framework. Environmental and Resource Economics, 70 (3). pp. 565-588. ISSN 0924-6460

McMenemy, Paul and Kleczkowski, Adam and Lees, David N. and Lowther, James and Taylor, Nick (2018) A model for estimating pathogen variability in shellfish and predicting minimum depuration times. PLoS ONE, 13 (3). e0193865. ISSN 1932-6203

Bate, Andrew M. and Jones, Glyn and Kleczkowski, Adam and Naylor, Rebecca and Timmis, Jon and White, Piran C. L. and Touza, Julia (2018) Livestock disease management for trading across different regulatory regimes. EcoHealth. ISSN 1612-9202

2015

Kleczkowski, Adam and Maharaj, Savi and Rasmussen, Susan and Williams, Lynn and Cairns, Nicole (2015) Spontaneous social distancing in response to a simulated epidemic : a virtual experiment. BMC Public Health, 15. 973. ISSN 1471-2458

2014

Marmara, V. and Cook, A. and Kleczkowski, A. (2014) Estimation of force of infection based on different epidemiological proxies : 2009/2010 Influenza epidemic in Malta. Epidemics, 9. pp. 52-61. ISSN 1755-4365

Oleś, Katarzyna and Gudowska-Nowak, Ewa and Kleczkowski, Adam (2014) Cost-benefit analysis of epidemics spreading on clustered random networks. Acta Physica Polonica B, 45 (1). pp. 43-60. ISSN 0587-4254

2013

Oleś, Katarzyna and Gudowska-Nowak, Ewa and Kleczkowski, Adam (2013) Efficient control of epidemics spreading on networks : balance between treatment and recovery. PLoS ONE, 8 (6). e63813. ISSN 1932-6203

2012

Maharaj, Savi and Kleczkowski, Adam (2012) Controlling epidemic spread by social distancing : do it well or not at all. BMC Public Health, 12. 679. ISSN 1471-2458

Oleś, Katarzyna and Gudowska-Nowak, Ewa and Kleczkowski, Adam (2012) Understanding disease control : influence of epidemiological and economic factors. PLoS ONE, 7 (5). e36026. ISSN 1932-6203

2011

Ziebell, Heiko and Murphy, Alex M. and Groen, Simon C. and Tungadi, Trisna and Westwood, Jack H. and Lewsey, Mathew G. and Moulin, Michael and Kleczkowski, Adam and Smith, Alison G. and Stevens, Mark and Powell, Glen and Carr, John P. (2011) Cucumber mosaic virus and its 2b RNA silencing suppressor modify plant-aphid interactions in tobacco. Scientific Reports, 1. 187. ISSN 2045-2322

2005

Dybiec, B. and Kleczkowski, A. and Gilligan, C. A. (2005) Optimising control of disease spread on networks. Acta Physica Polonica B, 36 (5). pp. 1509-1526. ISSN 0587-4254

2004

Dybiec, B. and Kleczkowski, A. and Gilligan, C. A. (2004) Controlling disease spread on networks with incomplete knowledge. Physical Review E, 70 (6). 066145. ISSN 1063-651X

This list was generated on Thu Jul 2 10:49:50 2020 BST.